Digital Library

Search: "[ keyword: Supervised Learning ]" (13)
    Improved Focused Sampling for Class Imbalance Problem
    Man Sun Kim , Hyung Jeong Yang , Soo Hyung Kim , Wooi Ping Cheah The KIPS Transactions:PartB , Vol. 14, No. 4, pp. 287-294, Aug. 2007
    10.3745/KIPSTB.2007.14.4.287


    Improving the Classification Accuracy Using Unlabeled Data: A Naive Bayesian Case
    Chang Hwan Lee The KIPS Transactions:PartB , Vol. 13, No. 4, pp. 457-462, Aug. 2006
    10.3745/KIPSTB.2006.13.4.457


    Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
    Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 130-139, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.130
    Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain


    Comparative Analysis of Self-supervised Deephashing Models for Efficient Image Retrieval System
    Kim Soo In, Jeon Young Jin, Lee Sang Bum, Kim Won Gyum KIPS Transactions on Software and Data Engineering, Vol. 12, No. 12, pp. 519-524, Dec. 2023
    https://doi.org/10.3745/KTSDE.2023.12.12.519
    Keywords: Deephashing, Image retrieval, Variational Inference, Self-Supervised Learning, Attention Mechanism


    Intrusion Detection Method Using Unsupervised Learning-Based Embedding and Autoencoder
    Junwoo Lee, Kangseok Kim KIPS Transactions on Software and Data Engineering, Vol. 12, No. 8, pp. 355-364, Aug. 2023
    https://doi.org/10.3745/KTSDE.2023.12.8.355
    Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data


    Traffic Attributes Correlation Mechanism based on Self-Organizing Maps for Real-Time Intrusion Detection
    Kyoung Ae Hwang , Ha Young Oh , Ji Young Lim , Ki Joon Chae , Jung Chan Nah The KIPS Transactions:PartC, Vol. 12, No. 5, pp. 649-658, Oct. 2005
    10.3745/KIPSTC.2005.12.5.649


    Construction of Linearly Aliened Corpus Using Unsupervised Learning
    Kong Joo Lee , Jae Hoon Kim The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 387-394, Jun. 2004
    10.3745/KIPSTB.2004.11.3.387


    Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
    Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 483-490, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.483
    Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder


    A Korean Language Stemmer based on Unsupervised Learning
    Se Hyeong Cho The KIPS Transactions:PartB , Vol. 8, No. 6, pp. 675-684, Dec. 2001
    10.3745/KIPSTB.2001.8.6.675


    Prediction of Cryptocurrency Price Trend Using Gradient Boosting
    Joo-Seong Heo, Do-Hyung Kwon, Ju-Bong Kim, Youn-Hee Han, Chae-Hun An KIPS Transactions on Software and Data Engineering, Vol. 7, No. 10, pp. 387-396, Oct. 2018
    10.3745/KTSDE.2018.7.10.387
    Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting


Forms



Category Search

Publications


Old Journals


Indexing


All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Organization


Related Journals